I'm currently trying to calculate the eigenvalues of several matrices. However, some of my matrices are actually have more than 2 dimension (so basically, it have n x n x n x ...x n dimension). I've tried to calculate the eigenvalues by slicing the matrix, thus one matrix becomes several 2 dimensional matrices, but I don't think it is the right way to do that. Can anyone suggest in which book I could find the way to solve this problem?
2026-03-30 12:31:34.1774873894
Eigenvalue of higher rank tensor
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